Technical problems were not time-consuming.

Too much theory, only 3 labs

IT IS GOOD

This is a good overview, but I found the lab in the week 4 quite unhelpful. In my view, it would be a much better learning experience if we initially build these pipelines from scratch without the abstraction of a tool like terraform. This is the philosophy you follow in your deep learning specialization which in my view is very effective. Its important to have a clear understanding of each component in the pipeline (ec2, s3,rds, vector db, lambda) individually before abstracting it with terraform. As it stands, I executed a bunch of scripts, initially got a bunch of errors which I really did not understand because I do not as yet have a good understanding of what is happening under the hood. Again, my main recommendation is have us build a pipeline from scratch without terraform.

As someone already in the field of data, this course was pretty easy, but I could see it being pretty difficult for newcomers to understand all of the material. I would have preferred more focus on the labs, and think they should have started with basic data pipelines instead of complicated Terraform/AWS pipelines right off the back. It would have been cool to implement a data pipeline that's usable for a small project without so much reliance on AWS.

Sort of theoretical, would've been better if the use cases were more realistic

The instructor skipped some instructions. There was also mis-spelling. I will not be completing this certificate through Coursera.